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| Content Provider | ACM Digital Library |
|---|---|
| Author | Neubert, Stefan Friedrich, Tobias Schumann, David Lenzner, Pascal Keßler, Christoph Ihde, Sven |
| Abstract | Inspired by real world examples, e.g. the Internet, researchers have introduced an abundance of strategic games to study natural phenomena in networks. Unfortunately, almost all of these games have the conceptual drawback of being computationally intractable, i.e. computing a best response strategy or checking if an equilibrium is reached is NP-hard. Thus, a main challenge in the field is to find tractable realistic network formation models. We address this challenge by establishing that the recently introduced model by Goyal et al.[WINE'16], which focuses on robust networks in the presence of a strong adversary, is a rare exception which is both realistic and computationally tractable. In particular, we sketch an efficient algorithm for computing a best response strategy, which implies that deciding whether the game has reached a Nash equilibrium can be done efficiently as well. Our algorithm essentially solves the problem of computing a minimal connection to a network which maximizes the reachability while hedging against severe attacks on the network infrastructure. |
| Starting Page | 321 |
| Ending Page | 323 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781450345934 |
| DOI | 10.1145/3087556.3087594 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-07-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Network robustness Strategic network formation Network reachability Best response computation |
| Content Type | Text |
| Resource Type | Article |
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